David Ha

According to our database1, David Ha authored at least 10 papers between 2016 and 2018.

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Bibliography

2018
Reinforcement Learning for Improving Agent Design.
CoRR, 2018

Pommerman: A Multi-Agent Playground.
CoRR, 2018

Recurrent World Models Facilitate Policy Evolution.
CoRR, 2018

World Models.
CoRR, 2018

Learning via social awareness: improving sketch representations with facial feedback.
CoRR, 2018

Optimal Classifier Model Status Selection using Bayes boundary uncertainty.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Neuroevolution for deep reinforcement learning problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
A Neural Representation of Sketch Drawings.
CoRR, 2017

PathNet: Evolution Channels Gradient Descent in Super Neural Networks.
CoRR, 2017

2016
HyperNetworks.
CoRR, 2016


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